State estimation and simulation of the magnetic levitation system of a high-speed Maglev train

Author

Guangwei Shu ; Meisinger, R.

Author_Institution

Sch. of Electr. & Electron. Eng., Shanghai Inst. of Technol., Shanghai, China

Volume

2

fYear

2011

fDate

12-14 Aug. 2011

Firstpage

944

Lastpage

947

Abstract

The magnetic levitation system of a high-speed Maglev train is simplified as a single mass system on a rigid guideway. The motion equations of the electromechanical components are derived with LAGRANGE-Function in state space notation. Because of the instability of the magnetic levitation system the vehicle must be actively controlled. The controller is designed by linear quadratic optimal control strategy. A state observer (KALMAN-Filter) is used to estimate the states which can not be measured or are influenced by noise. For the simulation of the control system the MATLAB/Simulink is used. Simulation results for the time histories of the magnet gap and the vertical acceleration are given for a gap initial condition.

Keywords

Kalman filters; control system synthesis; linear quadratic control; locomotives; magnetic levitation; observers; LAGRANGE-function; MATLAB-Simulink; electromechanical components; high-speed Maglev train; linear quadratic optimal control strategy; magnet gap; magnetic levitation system; rigid guideway; state estimation; state observer; state space notation; vertical acceleration; Acceleration; Equations; Magnetic flux; Magnetic levitation; Mathematical model; Noise measurement; Observers; maglev train; magnetic levitation system; modeling; simulation; state estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on

Conference_Location

Harbin, Heilongjiang, China

Print_ISBN

978-1-61284-087-1

Type

conf

DOI

10.1109/EMEIT.2011.6023250

Filename

6023250